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Direct Funding runs on trust. Scaling it takes systems.

Turn your messy, relationship-driven workflows into clear, repeatable operations — across underwriting, docs, monitoring, servicing, and finance. We build it, run it, and keep it moving.

Accelerate Operations
Live in under 30 days·Less repeat work·You keep control·$600M+ on Starter Stack

Our team

Google
McKinsey & Company
EY
Johns Hopkins
CIA
Google
McKinsey & Company
EY
Johns Hopkins
CIA

Your firm is strong at relationships. The process behind the relationship is the problem.

Your firm runs on trust, speed, and judgment. But inside many firms, the work behind the deal still runs through PDFs, inboxes, spreadsheets, and memory. That is why growth starts to feel fragile. The operation is still running on tribal knowledge instead of clear systems.

The Mirage.

You don’t need another generic SaaS tool. Off-the-shelf automation breaks the second it hits an exception in a Friday afternoon email thread.

Downstream Shifting.

If you use automation to pull data before fixing your underlying data plumbing, you aren’t saving time. You’re just forcing your most expensive analysts to clean up the mistakes downstream.

Buy outcomes, not software.

Starter Stack is an AI-Native Service (AINS) partner. We don’t just sell you a dashboard and leave you to figure it out. We identify your operational bottlenecks, build the custom AI agents, and run them directly on our infrastructure. You hold us accountable as a single point of responsibility.

01

Strategy

We diagnose your operation and design the exact agentic workflows you need.

02

Implementation

Our engineers build the agents and normalize your messy data inputs.

03

Infrastructure

The system runs on our foundational stack, but securely processes your environment’s data. We maintain it.

Starter Stack is built for non-bank lenders.

Direct funders deploying tens to a few hundreds of millions a year across real estate, business credit, working capital, and specialty finance — strong on origination and relationships, light on operational repeatability.

Good fit

Your team spends too much time on manual document review.
You know files get cleaned up downstream instead of upstream.
Portfolio monitoring is weaker than underwriting.
Important process steps still live in someone's head.
You want better governance without killing flexibility on real exceptions.

Probably not a fit

×You want a plug-and-play SaaS tool with no workflow work.
×Your process is already tightly standardized and your main need is headcount.
×You want to fully automate credit judgment with no human review. That is not how this industry works, and it is not what operators trust.

What happens in your first 30 days

You don't need another platform pitch. You need one real problem fixed first, with automation handling the busywork and our experts working alongside your team so everyone can stay on higher-value work.

Phase 01 (~7 days)

Talk to your team

Your people walk us through how work actually gets done — originations, underwriting, servicing, finance. We capture every step and probe where files slow down, so you get a clear picture of what's really happening, not just what's on paper.

Phase 02 (~2 days)

Map the workflow

We turn those conversations into a simple map of who does what, in what order, and where the friction is. Our experts mark the spots where automation should step in and where humans must stay in control.

Phase 03 (~3 days)

Choose what to fix first

Together, we pick the first workflows to automate and define the split: what the system handles end-to-end, what your team keeps, and how we oversee the whole thing. You see the impact in hours saved and risk reduced before anything goes live.

Phase 04 (ongoing)

Run it with you

We plug automation into those workflows and your systems, and stay in the loop to tune them as your operation changes. Your first workflow goes live inside 30 days; from there, the system handles the repetitive work at scale while your team stays focused on judgment calls, exceptions, and relationships.

Where we start most often

You get the most leverage when AI takes the repeatable work off your team in the places everyone feels every day.

Underwriting intake and doc review

AI agents structure borrower files, flag missing stips, and pull key data from statements and tax returns. Your underwriters get cleaner files to review and spend more time on judgment calls, less time chasing PDFs.

Portfolio monitoring

AI agents watch for risk drift, stale payments, and covenant movement so your team gets early warnings on files starting to slip — not just delinquency alerts after the first missed payment.

Servicing handoff and exception routing

AI agents preserve deal context after close and route exceptions to named owners. Your servicing team picks up where underwriting left off instead of rebuilding the story from scratch.

Finance ops and reconciliation

AI agents line up servicing data, bank activity, and accounting records so month-end isn't a manual reconstruction project. Your finance team closes the books faster and focuses on analysis.

Your underwriting box is your edge. Keep it that way.

Your firm has built a way of evaluating deals that is yours — your credit policies, your risk thresholds, your offer logic. We encode those rules into a private system you control. Your data does not go into a shared platform. It does not train a model that competes with you.

Security 01

Your playbooks stay private

We build the workflow around how your firm thinks, not a generic template. Your credit logic stays yours.

Security 02

Deployed on our infrastructure or yours

Default is managed on our secure infrastructure. If your risk team needs the system inside your own environment, we can do that too.

Security 03

Works with what you already use

We connect to the systems your team already works in. No rip-and-replace project required.

Security 04

Compliance-ready

SOC 2 audit in progress. We share our security policies and deployment architecture so your risk team has what they need.

Works with your current stack

Most lenders do not need a rip-and-replace project. They need a layer that sits across the systems they already use and makes the workflow usable.

Integrations

LOS and underwriting systems
CRM and broker intake workflows
Servicing platforms
Accounting systems and general ledger
Banking APIs and transaction feeds
Shared drives, email, and document storage

Deployment

Managed deployment on our stack
Private deployment or self-hosted options when control matters most
Model-flexible architecture so you are not tied to one vendor

Transformations Live in Production

Real workflows deployed inside lending operations, executing work that previously required entire operational teams.

01

How a Direct Funder Cut Stacking Detection from 1-2 Days to 10 Minutes

Built for direct funders trying to prevent stacking and hidden obligations. Workflows scan bank statements, payouts, and payment patterns to identify stacked positions quickly and explain the "why" behind the risk.

Capabilities
  • Bank statement ingestion + transaction classification
  • Stacking/obligation detection heuristics + ML signals
  • Merchant cashflow + affordability assessment
  • Merchant identity + consistency checks across sources
  • Risk summary with evidence trails
  • Underwriter queue prioritization + alerts
02

How a High-Volume Lender Cut Manual Review from Hours to Minutes

Built for high-throughput lenders where underwriting and diligence gets bottlenecked by document review, borrower follow-ups, and policy checks. Workflows triage inbound files, extract key fields, and surface decision-ready summaries with exceptions highlighted.

Capabilities
  • Document intake triage + completeness checks
  • Data extraction into LOS/CRM
  • Policy/credit box checks + exception flags
  • Stip tracking + borrower follow-up drafting
  • Underwriter-ready deal summaries
  • Fraud / inconsistency detection across docs
03

How an SMB Lender Secured a $100M+ Credit Facility with Portfolio Intelligence

Built for alt finance lenders needing clean, lender-grade portfolio reporting for warehouse lines and credit facilities. Workflows standardize tape data, reconcile servicing + bank activity, and produce covenant + concentration reporting with audit trails.

Capabilities
  • Loan tape normalization + validation
  • Servicer / bank / GL reconciliation
  • Covenant reporting automation
  • Concentration + risk monitoring dashboards
  • Borrowing base calculations + roll-forwards
  • Investor/lender Q&A response packets